I am quite new to python
and trying to work on a project that requires me to extract data from an SQL(.db)
database and output this data into an excel file.
My database File has a lot of data but the structure I have managed to print is as follows
Run ID | Environment
1 52
2 52
3 52
4 52
5 72
6 72
7 72
8 72
....
now I need to be able to output these values to an excel spreadsheet like this,
52|72|92|112|132
Below is my current code and it allows me to output
52|52|52|52|72|72|72|72
a is the c.fetchall()
from the module access database Any help is appreciated
Access_Database_Module.Access_Database(DB)
x = 2
DBcommand = "SELECT * FROM " + a[x][0]
print(a[x][0])
c.execute(DBcommand)
y = c.fetchall()
x = y
workbook = xls.Workbook('Environment.xlsx')
worksheet = workbook.add_worksheet('Environment Direction')
rowNum = 0
colNum = 1
workbook = xls.Workbook('Environment.xlsx')
worksheet = workbook.add_worksheet('Environment Direction')
for item in y:
while colNum == colNum + 1 :
colNum
worksheet.write(rowNum, colNum, item[14])
colNum += 1
workbook.close()
you need to change your query as follows:
DBcommand = "SELECT distinct [Environment] FROM " + a[x][0]
This will return unique values which is what you are looking for
Do you want to remove duplicates from your database column and store it in a excel? If it so, then the below code may help you.
import pandas as pd
import sqlite3
# get DB connection
con = sqlite3.connect("your DB connection")
# Read sqlite query results into a pandas DataFrame
df = pd.read_sql_query("SELECT * from yourDB", con)
# verify that result of SQL query is stored in the dataframe
print(df.head())
con.close()
# if you want to remove duplicate based on particular column then do this
df.drop_duplicates(subset=[column_name],inplace=True)
# else do this
df.drop_duplicates(inplace=True)
# export to Excel file
df.to_excel("filename.xlsx",index=False)
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